Land Leasing in Rural Ireland - some empirical findings from the south-east
Bibliographic record
Abstract
The area of leased land in Ireland has increased over the postwar period, especially in the south-east region. Geographical aspects of the demand for rented land in part of this region are examined, as well as factors influencing supply. In the study area of Slieveardagh, County Tipperary. the outcomes differed with regard to bio-physical endowment. In the lowland limestone areas, commercial tillage farmers and other non-local farmers were predominant in the market for rented land. In the upland shale area, local small farmers were more active in securing extra grassland to keep their farms viable. A significant amount of land for leasing was provided by elderly, incomplete families, labelled here as ‘terminal households’. It is possible only to speculate about the possible impact of recent EU incentives to promote long-term leasing and early retirement in a locality such as Slieveardagh.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".